Triple
T28350454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Nuggets 1983–84 NBA season |
E718079
|
entity |
| Predicate | coachStrategy |
P169582
|
FINISHED |
| Object | up-tempo offensive system |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: up-tempo offensive system | Statement: [Denver Nuggets 1983–84 NBA season, coachStrategy, up-tempo offensive system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachStrategy Context triple: [Denver Nuggets 1983–84 NBA season, coachStrategy, up-tempo offensive system]
-
A.
conferenceCoach
Indicates a person who provides guidance, training, or mentorship to participants in the context of a conference or similar professional gathering.
-
B.
assistantCoachTo
Indicates that one entity serves in the role of assistant coach to another entity, typically supporting and working under the primary coach.
-
C.
gameCoached
Indicates that one entity served as the coach for another entity in the context of a specific game or match.
-
D.
assistantCoachAt
Indicates that one entity serves in the role of assistant coach for a sports team, organization, or program represented by the other entity.
-
E.
playingCoach
Indicates a person who simultaneously serves as both a player and a coach for the same team or organization.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eff6ec27b481908c8d7b86c47893d9 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 28, 2026, 12:46 a.m.